PressGEO scores each release against the citation rubrics of ChatGPT, Gemini, Perplexity, Claude, Grok, and Copilot — then polls all six engines and reports back when they actually cite you.
Schema.org, sitemaps, and feeds stack on top of classic search — you don't trade one for the other.
Releases formatted so ChatGPT, Gemini, Perplexity, Copilot, Claude, and Grok can parse and cite them.
Answer-first ledes, named entities, FAQ blocks, and an llms.txt file (a plain-text site map written for AI crawlers) — the patterns LLMs reward.
Standard feeds (RSS, Atom, JSON), instant-index pings to Bing and others (IndexNow), permanent archives (Wayback, GitHub), and a Bluesky auto-post — every channel that still pulls from feeds.
Generic "optimize for AI" tactics leave citations on the table. PressGEO scores each release on what every engine actually weights and fixes and submits for each.
After each release publishes, PressGEO fires citation-likely questions at every major AI engine on a schedule and logs every hit, miss, and quoted excerpt back into your dashboard.
The first 1–2 sentences directly answer what happened. No throat-clearing — LLMs only quote what's citable.
Each paragraph makes a single claim, backed by a statistic, named source, or quote. Easier for retrieval.
Every release includes attributed quotes with title and company. LLMs cite quoted speech disproportionately.
Concrete dates, percentages, dollar amounts. No 'many' or 'significantly' — vague claims get skipped.
Section headers phrased as natural questions match the way users prompt ChatGPT and Perplexity.
Every release ends with 3–5 Q&A pairs and ships with NewsArticle + FAQPage JSON-LD on the public page.
RSS, Atom, JSON Feed, Google News sitemap, WebSub, signed webhooks, Wayback archival, GitHub Releases mirror, Bluesky auto-post, per-issuer newsrooms — every open-web channel, on every plan. No journalist spam.
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